QUALITY OF LIFE OUTCOMES >= 5 YRS POST HEART TRANSPLANT

这项为期5年的前瞻性纵向研究的目的是确定 与成年人的六种结果相关并预测其结果的变量 心脏移植术后5年至10年的患者。六 结果是生存，功能能力，情绪状态，工作能力， 对HT的满意度和感知的生活质量。具体的研究目标是 (1)以确定人口统计学，身体和心理社会的差异 随着时间的推移，这些因素同时与六个结果的方差有关。 时间（2），以确定人口统计学，身体和心理预测的 六个结果（3），以检查身体和心理社会因素， 与六个结果相关的纵向变化（4），以检查 年龄、性别、种族/民族背景和HT后并发症对结局的影响 （5）检查使用各种统计方法的效果 用于处理缺失数据，以提高预测的准确性， 结果。 将采用前瞻性纵向设计。数据将 从HT后5年开始至10年，每6个月收集一次。 入选标准为（1）HT后≥ 5年（2）年龄≥ 21岁（3）能够 能读会写英语;（4）身体上能够参与。患者将 完成一本仪器手册，并收集图表数据。变量 要衡量的包括人口变量（例如，年龄、性别、种族， 婚姻状况），物理变量（例如，病史、药物、运动 测试和并发症），和心理社会变量（例如，自觉健康 状态，压力，应对和社会支持），以及六个结果变量 （在压力、评估和应对模式中）。统计分析将 包括用于重复测量纵向多变量回归方法 和结果的参数建模。健康相关的影响。 这些数据将提供关于（1）长期获益与风险的信息 HT，（2）有不良结局风险的患者，（3）和干预目标， 改善成果。

The purpose of this 5 years prospective, longitudinal study is to identify variables that are associated with and predict six outcomes of adult patients at 5 years to 10 years after heart transplantation (HT). The six outcomes are survival, functional ability, emotional status, work ability, satisfaction with HT, and perceived quality of life. Specific study aims are (1) to determine how variance in demographic, physical, and psychosocial factors over time is concurrently related to variance in the six outcomes over time (2) to identify demographic, physical, and psychosocial predictors of the six outcomes (3) to examine how physical and psychosocial factors that are related to the six outcomes change longitudinally (4) to examine the impact of age, gender, racial / ethnic background, and complications after HT on outcomes over time and (5) to examine the effect of using various statistical methods for handling missing data in order to improve the accuracy of prediction of outcomes. A prospective, longitudinal design will be used. Data will be collected every 6 months beginning at 5 years through 10 years after HT. Inclusion criteria are (1) >= 5 years post HT (2) age >= 21 years (3) able to read and write English, and (4) physically able to participate. Patients will complete a booklet of instruments, and chart data will be gathered. Variables to be measured include demographic variables (ex. age, gender, race, and marital status), physical variables (ex. medical history, medications, exercise testing, and complications), and psychosocial variables (ex. perceived health status, stress, coping, and social support), and the six outcome variables (within a stress, appraisal, and coping model). Statistical analyses will include longitudinal, multi-variable regression methods for repeated measures and parametric modeling of outcomes. Health-Related Implications. These data will provide information regarding (1) long-term benefits versus risks of HT, (2) patients at risk for poor outcomes, (3) and targets for interventions to improve outcomes.